Ultriva by Upland

International Shipping Performance Often Triggers Forecasting Errors

Cupertino, CA -- (SBWIRE) -- 01/13/2015 -- Forecast Errors newsletter reported transport and logistics pipeline are often overlooked. It is the vital link between costs and intercontinental shipping performance. The Aberdeen Group polled 142 shippers to explore the key events that industry leaders monitor for international shipments. The events industry leaders view as essential, how leaders move from raw data to intelligence, and the link between improved supply chain visibility and reduced costs prove vital in the elimination of forecast errors among global manufacturing enterprises.

Forecast Errors, a weekly e-newsletter, shares methods, modes, and tools used in a variety of supply chain industries. The newsletter explores forecast errors as the difference between the actual and predicted value. In the current issue, Forecast Errors argued that what separates best-in-class companies from those that struggle with accuracy is how they root out (and learn from) forecasting errors.

A forecast error is the difference between the actual and predicted value. The consequences are expensive inefficiencies that can be resolved with lean manufacturing technology.

About Ultriva
Ultriva's (http://www.ultriva.com) cloud-based platform leverages seamlessly integrates with leading ERP and MRP systems, to deliver an end to end pull based replenishment solution. Ultriva, based in Cupertino, CA, implements a global demand driven manufacturing model by providing full visibility, scheduling, and sequencing of production of customer orders. Ultriva was named one of the Great Supply Chain Projects of 2014 by Supply & Demand Chain Executive magazine and recently named one of 50 Best Supply Chain Blogs of 2014 by SupplyChainOpz. The company's global footprint is increasing rapidly with implementations in wide variety of industry sectors and enterprises such as Magellan Aerospace, CareFusion, Emerson, Ingersoll Rand, McKesson, Triumph Group, Regal Beloit, Thermo Fisher, and more.